AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 601 to 610 of 1116 articles

Joint Optimization of CycleGAN and CNN Classifier for Detection and Localization of Retinal Pathologies on Color Fundus Photographs.

IEEE journal of biomedical and health informatics Jan 17, 2022
Retinal related diseases are the leading cause of vision loss, and severe retinal lesion causes irreversible damage to vision. Therefore, the automatic methods for retinal diseases detection based on medical images is essential for timely treatment. ...
Image Processing, Computer-Assisted Retina Diagnostic Techniques, Ophthalmological Humans Photography Neural Networks, Computer
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Evaluation of Maturation in Preterm Infants Through an Ensemble Machine Learning Algorithm Using Physiological Signals.

IEEE journal of biomedical and health informatics Jan 17, 2022
This study was designed to test if heart rate variability (HRV) data from preterm and full-term infants could be used to estimate their functional maturational age (FMA), using a machine learning model. We propose that the FMA, and its deviation from...
Infant Algorithms Infant, Premature Humans Infant, Newborn Gestational Age Heart Rate Machine Learning
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Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture.

IEEE journal of biomedical and health informatics Jan 17, 2022
Diabetes intensive care unit (ICU) patients are at increased risk of complications leading to in-hospital mortality. Assessing the likelihood of death is a challenging and time-consuming task due to a large number of influencing factors. Healthcare p...
Hospital Mortality Diabetes Mellitus Critical Care Intensive Care Units Deep Learning Humans
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WeDea: A New EEG-Based Framework for Emotion Recognition.

IEEE journal of biomedical and health informatics Jan 17, 2022
With the development of sensing technologies and machine learning, techniques that can identify emotions and inner states of a human through physiological signals, known as electroencephalography (EEG), have been actively developed and applied to var...
Emotions Electroencephalography Machine Learning Databases, Factual Humans
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Automatic Assessment of Pectus Excavatum Severity From CT Images Using Deep Learning.

IEEE journal of biomedical and health informatics Jan 17, 2022
Pectus excavatum (PE) is the most common abnormality of the thoracic cage, whose severity is evaluated by extracting three indices (Haller, correction and asymmetry) from computed tomography (CT) images. To date, this analysis is performed manually, ...
Reproducibility of Results Deep Learning Humans Tomography, X-Ray Computed Observer Variation Funnel Chest
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A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

IEEE journal of biomedical and health informatics Jan 17, 2022
The ability to perform accurate prognosis is crucial for proactive clinical decision making, informed resource management and personalised care. Existing outcome prediction models suffer from a low recall of infrequent positive outcomes. We present a...
ROC Curve Retrospective Studies Electronic Health Records Hospitalization Length of Stay Humans Machine Learning
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Humanoid Robot Based Platform to Evaluate the Efficacy of Using Inertial Sensors for Spasticity Assessment in Cerebral Palsy.

IEEE journal of biomedical and health informatics Jan 17, 2022
Spasticity is commonly present in individuals with cerebral palsy (CP) and manifests itself as shaky movements, muscle tightness and joint stiffness. Accurate and objective measurement of spasticity is investigated using inertial measurement unit (IM...
Aged Muscle, Skeletal Humans Movement Muscle Spasticity Robotics Cerebral Palsy
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Choquet Integral and Coalition Game-Based Ensemble of Deep Learning Models for COVID-19 Screening From Chest X-Ray Images.

IEEE journal of biomedical and health informatics Dec 6, 2021
Under the present circumstances, when we are still under the threat of different strains of coronavirus, and since the most widely used method for COVID-19 detection, RT-PCR is a tedious and time-consuming manual procedure with poor precision, the ap...
Artificial Intelligence X-Rays Humans SARS-CoV-2 COVID-19 Deep Learning
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User-Interactive Robot Skin With Large-Area Scalability for Safer and Natural Human-Robot Collaboration in Future Telehealthcare.

IEEE journal of biomedical and health informatics Dec 6, 2021
With the fourth revolution of healthcare, i.e., Healthcare 4.0, collaborative robotics is spilling out from traditional manufacturing and will blend into human living or working environments to deliver care services, especially telehealthcare. Becaus...
Workplace Humans Robotics Touch Skin
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COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors.

IEEE journal of biomedical and health informatics Nov 5, 2021
Early screening of COVID-19 is essential for pandemic control, and thus to relieve stress on the health care system. Lung segmentation from chest X-ray (CXR) is a promising method for early diagnoses of pulmonary diseases. Recently, deep learning has...
Lung COVID-19 X-Rays Humans Deep Learning SARS-CoV-2
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